samsung SM-S721B
Geekbench AI Score
2148
Single Precision Score
2196
Half Precision Score
3167
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | November 15 2025 03:35 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 16 |
| Model | samsung SM-S721B |
| Model ID | samsung SM-S721B |
| Motherboard | s5e9945 |
| Governor | energy_aware |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 10 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 0 part 3458 revision 1 |
| Base Frequency | 1.96 GHz |
| Cluster 1 | 4 Cores @ 1.96 GHz |
| Cluster 2 | 3 Cores @ 2.59 GHz |
| Cluster 3 | 2 Cores @ 2.90 GHz |
| Cluster 4 | 1 Core @ 3.11 GHz |
| Memory Information | |
|---|---|
| Size | 7.06 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1904
354.0 IPS |
|
|
Image Classification (HP)
|
100% |
2041
379.6 IPS |
|
|
Image Classification (Q)
|
100% |
3020
561.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
2186
35.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2289
37.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
3799
61.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
3279
3.83 IPS |
|
|
Pose Estimation (HP)
|
100% |
3216
3.75 IPS |
|
|
Pose Estimation (Q)
|
84% |
7545
8.95 IPS |
|
|
Object Detection (SP)
|
98% |
1564
124.5 IPS |
|
|
Object Detection (HP)
|
98% |
1694
134.8 IPS |
|
|
Object Detection (Q)
|
83% |
2355
190.2 IPS |
|
|
Face Detection (SP)
|
100% |
3316
39.4 IPS |
|
|
Face Detection (HP)
|
100% |
3323
39.5 IPS |
|
|
Face Detection (Q)
|
95% |
4536
54.2 IPS |
|
|
Depth Estimation (SP)
|
99% |
3051
23.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
3050
23.6 IPS |
|
|
Depth Estimation (Q)
|
64% |
4499
41.2 IPS |
|
|
Style Transfer (SP)
|
89% |
7485
9.72 IPS |
|
|
Style Transfer (HP)
|
89% |
7425
9.64 IPS |
|
|
Style Transfer (Q)
|
98% |
13364
17.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1624
60.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1627
60.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3188
118.1 IPS |
|
|
Text Classification (SP)
|
100% |
556
741.7 IPS |
|
|
Text Classification (HP)
|
99% |
590
786.9 IPS |
|
|
Text Classification (Q)
|
88% |
922
1.24 KIPS |
|
|
Machine Translation (SP)
|
100% |
1437
24.8 IPS |
|
|
Machine Translation (HP)
|
100% |
1423
24.5 IPS |
|
|
Machine Translation (Q)
|
50% |
622
22.1 IPS |
